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CORR
2011
Springer
172views Education» more  CORR 2011»
13 years 2 months ago
Possibilities and impossibilities in Kolmogorov complexity extraction
Randomness extraction is the process of constructing a source of randomness of high quality from one or several sources of randomness of lower quality. The problem can be modeled ...
Marius Zimand
FSTTCS
2009
Springer
14 years 2 months ago
Kolmogorov Complexity in Randomness Extraction
We clarify the role of Kolmogorov complexity in the area of randomness extraction. We show that a computable function is an almost randomness extractor if and only if it is a Kolm...
John M. Hitchcock, Aduri Pavan, N. V. Vinodchandra...
STACS
2007
Springer
14 years 1 months ago
Kolmogorov-Loveland Stochasticity and Kolmogorov Complexity
Abstract. Merkle et al. [13] showed that all Kolmogorov-Loveland stochas
Laurent Bienvenu
DCC
2006
IEEE
14 years 7 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
ICALP
2007
Springer
14 years 1 months ago
Reconciling Data Compression and Kolmogorov Complexity
While data compression and Kolmogorov complexity are both about effective coding of words, the two settings differ in the following respect. A compression algorithm or compressor...
Laurent Bienvenu, Wolfgang Merkle